5 years of work experience in data managment and statistical analyses using SAS software in large epidemiological/clinical studies in Ophthalmology is required.

This includes:At least two years of experience in setting up and managing study data using REDCap software and ONCORE software data collection systems to manage data across multiple studies sites, and at least one-year of experience in each of the following: 1) using generalized estimating equations (for use of data from two eyes), 2) conducting partial least squares analysis for discriminant and linear outcomes, 3) the analysis of genetic data using specialized software (PLINK, MACH (for imputation) and Haploview (for haplotype analysis), and nutritional data (from foods, supplements and blood nutrient estimates).

License or certificate:

Position Summary:

The researcher will design, implement, document and manage computerized systems for capture and management of health, nutrition and ophthalmologic research data under the supervision of the scientist and PI. She/he will independently perform statistical analyses of ophthalmic, health, genetic and nutrition data, in collaboration with study scientists and research staff. She/he will describe data in tables for research reports and publications. This position will also assist with fulfilling duties related to active sponsored research programs.

This position is to continue unique, federally-funded research to complete the only long-term (>10 years) large follow-up study , world-wide, of specific carotenoid plant pigments which selectively accumulate in the eye and brain, under the influence of dietary, genetic and health characteristics, and relation to age-related eye diseases of macular degeneration and glaucoma, and several visual functions. This is a fifteen -year multi-site, cohort study requiring specific use of software across three sites across three states, and requiring a unique blend of skills in data acquisition and management, as well as specialized skills in analyzing ophthalmic, genetic, and nutritional data efficiently.

The School of Medicine and Public Health has a deep and profound commitment to diversity both as an end in itself but, also as a valuable means for eliminating health disparities. As such, we strongly encourage applications from candidates who foster and promote the values of diversity and inclusion.

Additional Information:

Knowledge/Skills Required:-Experience utilizing SAS, R and statistical software in genetics (such as PLINK).-Experience in creating online data entry and management systems for grading of eye images.-Excellent communication skills.-Detail oriented work ethic with strong interpersonal and organizational skills.-Ability to work effectively as part of an integrated study team.